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Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing

Overview of attention for article published in Journal of Cloud Computing, September 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
Title
Private anomaly detection of student health conditions based on wearable sensors in mobile cloud computing
Published in
Journal of Cloud Computing, September 2022
DOI 10.1186/s13677-022-00300-x
Pubmed ID
Authors

Yu Xie, Kuilin Zhang, Huaizhen Kou, Mohammad Jafar Mokarram

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 13%
Researcher 1 13%
Student > Postgraduate 1 13%
Other 1 13%
Unknown 4 50%
Readers by discipline Count As %
Computer Science 3 38%
Unknown 5 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 September 2022.
All research outputs
#16,597,003
of 24,417,958 outputs
Outputs from Journal of Cloud Computing
#97
of 268 outputs
Outputs of similar age
#244,046
of 421,979 outputs
Outputs of similar age from Journal of Cloud Computing
#5
of 6 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 268 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.